The AI and Intuition Series
What AI Can't Access: The Layer That Makes Intuitive Reading Work
Large language models operate on encoded language, not on the pre-symbolic layer where intuitive reading begins. This op…
The AI and Intuition Series
Complete series · 7 parts
Seven essays on what large language models can and cannot reach in intuitive practice: pre-symbolic perception, tarot as interface, meaning versus attention, augmentation versus replacement, and the practitioner’s edge.
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Part 1
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Part 2
The AI and Intuition SeriesThe Myth of AI Intuition: Why Simulation Is Not the Same as Sensing
AI outputs feel intuitive because of compression, familiar pattern, and projection, not because the system perceives. Th…
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Part 3
The AI and Intuition SeriesPre-Verbal Knowing: The Stage of Intuition AI Cannot Reach
Most intuitive work spends its energy at the translation stage. The reception and recognition stages that come before la…
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Part 4
The AI and Intuition SeriesTarot as a Pre-Symbolic Interface: Why the Cards Activate Meaning Rather Than Contain It
Tarot behaves like an interface: dense images trigger pre-verbal processing before dictionary meanings arrive. That mode…
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Part 5
The AI and Intuition SeriesWhy Meaning Is the Wrong Battleground for Intuitive Reading
Interpretive fluency is increasingly automatable. The practitioner’s durable edge sits upstream: soft eyes, field-level…
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Part 6
The AI and Intuition SeriesThe Future Tension: Augmented Intuition vs Replaced Thinking
Augmentation and replacement are not different tools, they are different orders of operations. When perception leads and…
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Part 7
The AI and Intuition SeriesThe Practitioner's Edge: Perceptual Capacity in a World Where Interpretation Has Been Automated
The edge is not more card meanings or fluent interpretation, both are increasingly automatable. It is perceptual readine…